Comparison of subband cepstrum and Mel cepstrum for open set speaker classification

In this paper, a new method of feature extraction based on multirate signal processing and wavelet analysis using a polynomial classifier has been described. Dialectal zone based speaker classification in Marathi language has been attempted in the open set mode. The method consists of dividing the speech signal into nonuniform subbands in approximate Mel-scale using an admissible wavelet packet interbank and modeling each dialectal zone with the 2^nd order polynomial expansion of feature vector.